Computational Fluid Dynamics Analysis of Metal Turbine Blades for Different Thermal Parameters

The demand for advanced turbine blade materials that can withstand high temperatures and harsh conditions has increased. This study uses Computational Fluid Dynamics (CFD) analysis to investigate how metal turbine blades perform under different thermal parameters. The objective is to analyze the impact of temperature gradients and heat transfer coefficients on blade aerodynamics and structural integrity. Geometric modeling was done using Solidworks, and turbine blade simulation was done by using the ANSYS Workbench. It finds that temperature gradients, strain, plastic deformation, and stress significantly affect the efficiency and structural integrity of the blades. The study also compares various metal materials used for turbine blades, revealing their specific responses to thermal parameters. Haynes 230 and Ti–6Al–4V were the two materials employed in this study for the analysis. The number of elements and nodes discovered by mesh were 174410 and 291884, respectively. The outcomes of this study hold substantial implications for turbine blade design and material selection, facilitating the development of more robust and efficient turbine systems. By comparing the two materials employed for the turbine blade, Haynes 230 has lower deformation, stress, and strain than Ti–6Al–4V. So, Haynes 230 is a suitable material for the turbine blade. By comprehending the relationship between thermal parameters and material performance, engineers can optimize blade design, enhance cooling strategies, and improve the overall reliability and durability of turbine blades.